Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1042 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 830178 (C4 (Web Text))

Max Activating Token Index: 95

Text #1

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Data Index: 807817 (C4 (Web Text))

Max Activating Token Index: 475

Text #2

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Data Index: 68876 (C4 (Web Text))

Max Activating Token Index: 551

Text #3

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Data Index: 276863 (C4 (Web Text))

Max Activating Token Index: 99

Text #4

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Data Index: 1060378 (C4 (Web Text))

Max Activating Token Index: 235

Text #5

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Data Index: 550138 (C4 (Web Text))

Max Activating Token Index: 439

Text #6

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Data Index: 661998 (C4 (Web Text))

Max Activating Token Index: 495

Text #7

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Max Activating Token Index: 594

Text #8

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Max Activating Token Index: 1007

Text #9

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Max Activating Token Index: 276

Text #10

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Data Index: 992409 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 1007

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 369536 (C4 (Web Text))

Max Activating Token Index: 258